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MISSION SYSTEM objectives are achieved by procuring and implementing MISSION SYSTEMS (17) designed speci cally for satisfy Mission Requirements (10). In general, systems are procured to handle a diversity of missions ranging from highly specialized to very general. The mechanism for documenting the total set of mission requirements is the system speci cation or System Performance Speci cation (SPS). Author s Note 13.4 Under System Requirements (24), there should also be entity relationships for nonfunctional requirements. Because of space limitations, Figure 13.2 only depicts the functional requirements. As Figure 13.2 shows, System Requirements (24) specify and bound System Capabilities (25), which consist of System Functions (26). Each system function is bounded by at least one or more Measures of Performance (MOPs) (27). Technical Performance Parameters (TPPs) (28), which represent areas of performance that are critical to the mission and system, are selected for special tracking from the set of Measures of Performance (MOPs). Referral For more information about traceability of system capabilities, please refer to System Operational Capability Derivation and Allocation.



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MISSION SYSTEM and SUPPORT SYSTEM roles are determined by their role-based contexts within the System of Systems (SoS). Human-made systems consist of integrated supply chains of systems in which an organization produces systems, products, and services to support another downstream system. Two key points: In the system-centric context, a MISSION SYSTEM performs speci c objectives de ned by contract, tasking, or personal motivation. In the supply chain context, the same system serves as a SUPPORT SYSTEM to another via the delivery of systems, products, or services. As a result, every system in the SoS supply chain serves in two contextual roles as: 1. MISSION SYSTEM 2. SUPPORT SYSTEM





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Organizational competencies are rapidly becoming increasingly important elements of competitive advantage as Wall Street learns the intangible value of information technology, integrated supply chains, and intellectual capital. The rise to prominence of chief learning officer and chief knowledge officer positions, the incorporation of e-learning and knowledge management into the enterprise, Six Sigma, and a host of other learning, knowledge, and process-focused initiatives and technologies validates and accelerates the importance of this trend (for more on managing intangible IT value, see Part 2 of 8). Technology-driven organizations have a constant need to develop skills

Fitness for Use Performance Standards and Acceptance Criteria Fitness for Use Performance Standards and Acceptance Criteria

coordinates using the iterative procedure (xu , yu ) =

System #1

System #2

(2.4)

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If we investigate the MISSION SYSTEM and the SUPPORT SYSTEM roles and their interactions with the SOI s OPERATING ENVIRONMENT, every system performs a function, by de nition, and produces value-added products, by-products, and services that are used by other systems. In effect we can establish a customer supplier relationship boundary between the system and external systems within its OPERATING ENVIRONMENT. We can describe the SOI s value-added processing graphically as shown in Figure 13.3. System 1 performs value-added processing to transform MISSION RESOURCES inputs namely data and raw materials into SYSTEM RESPONSES outputs namely behavior, products, by-products, and services. The success of MISSION SYSTEM operations is subject to HIGHER ORDER Systems: Operating Constraints Command-and-control mission tasking, policies and procedures, contracts, etc. Organizational Resources Constraints Processes and methods, facilities, training, tools, personnel, etc.

Customers or Acquirers of systems, by virtue of validated operational needs, have minimum requirement thresholds and expectations that must be met to ensure the products, by-products, and services they acquire are acceptable for use by their technical capability, quality, and safety and are not detrimental to the environment and human health. Analytically, we refer to these expectations and requirements as tness-for-use criteria. Contractually, tness-for-use criteria establish a basis for: 1. Acquirer (role) speci cation of system/entity requirements 2. Acceptance of contract deliverables.

where N(u) is the set of nodes which are neighbors of u. The relaxation equations imply that nonperimeter nodes having perimeter nodes among their neighbors will tend to move toward perimeter nodes that are closest to them in terms of the number of hops. Perimeter Nodes Are Known. In this second case an algorithm is designed that does not use the fact that perimeter nodes know their exact geographic location. This is done by prefacing the previous relaxation method with a phase where perimeter nodes compute their own approximate virtual coordinates. The algorithm is in three steps. In the rst step, each perimeter node broadcasts a hello message to the entire network so as to discover its relative position (distances in hops) to all other perimeter nodes in the network: Call h(u, v) this distance measured in number of hops between perimeter nodes. In the second step, perimeter nodes broadcast their perimeter vector (i.e., vector of these distances to all other perimeter nodes) to the entire network. Finally, in the third step, every perimeter node uses a triangulation algorithm to compute the coordinates of all other perimeter nodes (including its own coordinates). Coordinates are chosen so as to minimize (h(u, v) d(u, v))2

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